The autism brain imaging data exchange: Towards a large-scale evaluation of the intrinsic brain architecture in autism
Item Type:Journal Article
Citation:Di Martino, A. Yan, C.-G. Li, Q. Denio, E. Castellanos, F.X. Alaerts, K. Anderson, J.S. Assaf, M. Bookheimer, S.Y. Dapretto, M. Deen, B. Delmonte, S. Dinstein, I. Ertl-Wagner, B. Fair, D.A. Gallagher, L. Kennedy, D.P. Keown, C.L. Keysers, C. Lainhart, J.E. Lord, C. Luna, B. Menon, V. Minshew, N.J. Monk, C.S. Mueller, S. Müller, R.-A. Nebel, M.B. Nigg, J.T. O'Hearn, K. Pelphrey, K.A. Peltier, S.J. Rudie, J.D. Sunaert, S. Thioux, M. Tyszka, J.M. Uddin, L.Q. Verhoeven, J.S. Wenderoth, N. Wiggins, J.L. Mostofsky, S.H. Milham, M.P., The autism brain imaging data exchange: Towards a large-scale evaluation of the intrinsic brain architecture in autism, Nature, 19, 6, 2014, 659 - 667
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Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience because of their high prevalence, lifelong nature, complexity and substantial heterogeneity. Facing these obstacles requires large-scale multidisciplinary efforts. Although the field of genetics has pioneered data sharing for these reasons, neuroimaging had not kept pace. In response, we introduce the Autism Brain Imaging Data Exchange (ABIDE)-a grassroots consortium aggregating and openly sharing 1112 existing resting-state functional magnetic resonance imaging (R-fMRI) data sets with corresponding structural MRI and phenotypic information from 539 individuals with ASDs and 573 age-matched typical controls (TCs; 7-64 years) (http://fcon_1000.projects.nitrc.org/indi/abide/). Here, we present this resource and demonstrate its suitability for advancing knowledge of ASD neurobiology based on analyses of 360 male subjects with ASDs and 403 male age-matched TCs. We focused on whole-brain intrinsic functional connectivity and also survey a range of voxel-wise measures of intrinsic functional brain architecture. Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity. Exploratory analyses using an array of regional metrics of intrinsic brain function converged on common loci of dysfunction in ASDs (mid- and posterior insula and posterior cingulate cortex), and highlighted less commonly explored regions such as the thalamus. The survey of the ABIDE R-fMRI data sets provides unprecedented demonstrations of both replication and novel discovery. By pooling multiple international data sets, ABIDE is expected to accelerate the pace of discovery setting the stage for the next generation of ASD studies.
Author: GALLAGHER, LOUISE
Type of material:Journal Article
Availability:Full text available